Few-shot Network Anomaly Detection via Cross-network Meta-learning

Few-shot Network Anomaly Detection via Cross-network Meta-learning

22 February 2021

Huan Liu

Papers citing "Few-shot Network Anomaly Detection via Cross-network Meta-learning"

11 / 61 papers shown

Title
Deep Graph Learning for Anomalous Citation Detection Jiaying Liu Feng Xia Xu Feng Jing Ren Huan Liu 24 40 0 23 Feb 2022
From Unsupervised to Few-shot Graph Anomaly Detection: A Multi-scale Contrastive Learning Approach Yu Zheng Ming Jin Yixin Liu Lianhua Chi Khoa T. Phan Shirui Pan Yi-Ping Phoebe Chen 18 13 0 11 Feb 2022
Meta Propagation Networks for Graph Few-shot Semi-supervised Learning Kaize Ding Jianling Wang James Caverlee Huan Liu SSL 19 41 0 18 Dec 2021
A Comprehensive Survey on Graph Anomaly Detection with Deep Learning Xiaoxiao Ma Jia Wu Shan Xue Jian Yang Chuan Zhou Quan Z. Sheng Hui Xiong Leman Akoglu GNN AI4TS 31 538 0 14 Jun 2021
Anomaly Mining -- Past, Present and Future L. Akoglu OOD AI4TS 14 11 0 21 May 2021
Meta-Learning with Graph Neural Networks: Methods and Applications Debmalya Mandal Sourav Medya Brian Uzzi Charu C. Aggarwal AI4CE 31 21 0 27 Feb 2021
Isometric Propagation Network for Generalized Zero-shot Learning Lu Liu Tianyi Zhou Guodong Long Jing Jiang Xuanyi Dong Chengqi Zhang 19 36 0 03 Feb 2021
Action Sequence Augmentation for Early Graph-based Anomaly Detection Tong Zhao Bo Ni Wenhao Yu Zhichun Guo Neil Shah Meng-Long Jiang 45 19 0 20 Oct 2020
Deep Weakly-supervised Anomaly Detection Guansong Pang Chunhua Shen Huidong Jin Anton van den Hengel 25 90 0 30 Oct 2019
Graph Convolutional Policy Network for Goal-Directed Molecular Graph Generation Jiaxuan You Bowen Liu Rex Ying Vijay S. Pande J. Leskovec GNN 203 885 0 07 Jun 2018
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 329 11,684 0 09 Mar 2017